Related papers: Reducing Diversity to Generate Hierarchical Archetypes

Reducing Diversity to Generate Hierarchical Archetypes

URL: http://arxiv.org/abs/2409.18633v1
Date: Fri, 27 Sep 2024 11:06:59 GMT
Title: Reducing Diversity to Generate Hierarchical Archetypes
Authors: Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda, Enric Guinovart, Eduard Alarcon,
Abstract summary: We present a primitive-based framework to automatically generate hierarchies of constructive archetypes. We prove the effectiveness of our framework through mathematical definitions and proofs.
Score: 2.5069344340760713
License: http://creativecommons.org/licenses/by/4.0/
Abstract: The Artificial Intelligence field seldom address the development of a fundamental building piece: a framework, methodology or algorithm to automatically build hierarchies of abstractions. This is a key requirement in order to build intelligent behaviour, as recent neuroscience studies clearly expose. In this paper we present a primitive-based framework to automatically generate hierarchies of constructive archetypes, as a theory of how to generate hierarchies of abstractions. We assume the existence of a primitive with very specific characteristics, and we develop our framework over it. We prove the effectiveness of our framework through mathematical definitions and proofs. Finally, we give a few insights about potential uses of our framework and the expected results.

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